The professional is responsible for designing, building, and evolving integrated analytical solutions for the economic and operational evaluation of oil projects. This role combines technical engineering capabilities with an understanding of financial processes such as CAPEX, OPEX, and cash flow, alongside operational activities like production and field work. The individual ensures the delivery of reliable and scalable information to support strategic decision-making. Furthermore, the role involves leading the transition from proof-of-concept stages to productive architectures. This process includes guaranteeing data quality, managing the standardization of multiple data sources, and ensuring alignment with specific industry business rules.

Candidates must possess 5 to 8 years of experience in analytics, business intelligence, or data engineering, including at least 3 years working with cloud analytical architectures and large data volumes. A professional degree in Systems Engineering, Industrial Engineering, Petroleum Engineering, Computer Science, Mathematics, or a related field is required. It is considered desirable for applicants to have a postgraduate degree or specialization in Data Analytics, Big Data, Business Intelligence, or Finance. Previous experience in the oil, energy, or capital-intensive sectors is also preferred.